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Keyloop bridges the gap between dealers, manufacturers, technology suppliers and car buyers. We empower car dealers and manufacturers to fully embrace digital transformation. By creating innovative technology that makes selling cars better for our customers, and buying and owning cars better for theirs.
We use cutting-edge technology to link our clients’ systems, departments and sites. We provide an open technology platform that’s shaping the industry for the future. We use data to help clients become more efficient, increase profitability and give more customers an amazing experience. Want to be part of it? Job Title: Data Platform Engineer We are seeking a highly skilled and experienced Data Engineer to join our team. The successful candidate will be responsible for developing and maintaining our Data Lake and existing Data Pipelines, as well as continually exploring, analyzing, and proposing improvements to existing processes and tooling. They will also be responsible for ensuring best practices are being adopted and staying up to date with the latest research and trends in Data Engineering. Strong background in Data Engineering, with experience in developing and maintaining Data Pipelines and Data Lakes Proven record of accomplishment of staying up to date with the latest research and best practices in Data Engineering Excellent technical skills in Data Engineering tools and technologies Advanced proficiency in Python and SQL Understanding of AWS cloud technologies, including infrastructure as code (CDK preferred) Strong understanding of information security and data protection principles Experience in driving technical and career development, creating appropriate goals and seeking learning opportunities within the company and the wider software community Experience working with automotive retail technology would be a distinct advantage Maintain and develop the Data Lake and existing Data Pipelines to support the product and data teams’ requirements Stay up to date with the latest research, trends and best practices in Data Engineering Support the Business Intelligence team and wider Company in querying centralized data stores, including the Data Lake Work within department to maintain an ongoing understanding of the company’s data strategy and roadmap Proactively report on issues and problems Drive your own technical and career development, create appropriate goals, and seek learning opportunities within the company and the wider software community Support colleagues on calls or in meetings with clients, partners, and suppliers as required Maintain systems under the team’s control, including user and access management Support colleagues and HR with onboarding as well as offboarding processes Ensure information security, data protection and support the business in complying with any legal obligations imposed upon it through positive actions Technologies: Python SQL: Trino, Spark-SQL, Hive, TSQL AWS Cloud services (including: s3, step functions, glue, CDK) Linux Windows We’re on a journey to become market leaders in our space – and with that comes some incredible opportunities. Collaborate and learn from industry experts from all over the globe. Work with game-changing products and services. Get the training and support you need to try new things, adapt to quick changes and explore different paths. An inclusive environment to thrive We’re committed to fostering an inclusive work environment. We promote an inclusive culture within our business, and we celebrate different employees and lifestyles – not just on key days, but every day.
We are also an equal opportunity employer committed to building a diverse and inclusive workforce.